HIMAI Project

Introduction
HIMAI seeks to develop the scientific evidence base for improved use of medical interventions in Africa and beyond, and for early warning and risk reduction of disease epidemics. Using artificial intelligence, HIMAI will systematically monitor how diseases and medical interventions in Africa affect people and from that it will generate novel insights informing improved diagnosis and treatment of diseases.

Methodology
The implementation of HIMAI project will use data acquisition and storage (DAS) platform as well as artificial health intelligence (AHI) platform. The DAS platform consists of both a server for data storage and client-side application for data acquisition.

Data Acquisitor and Storage

The AHI will serve as HIMAI artificial “brain”. In general, the first category of AHI includes machine learning (ML) techniques which analyze structured data, and the second category includes natural language processing (NPL) methods which extract information from unstructured data.

the mobile app can be downloaded from here

Objectives

  • The general objective of HIMAI project is to transform the practice of pharmacovigilance in order to improve the diagnosis and treatment of diseases.
  • HIMAI will use artificial intelligence (AI) techniques to systematically monitor how diseases and medical interventions  affect people and thereby generate novel insights to inform Methodology the improved diagnosis and treatment of diseases.

Outcome

  • The HIMAI DAS platform will enable routine and automated collection and curation of data from patients (symptoms) and their healthcare providers.
  • Data will be electronically collected following a defined protocol.
  • It is anticipated that the DAS platform will be field-tested and then fully deployed in Rwanda in the first quarter of 2019.
  • The platform will eventually serve as a repository for data from millions of patients and thousands of healthcare providers from across Africa.
  • This will be so-called Big Data – characterized by large volume, high velocity, and variety which will provide unprecedented opportunities for innovation in health-related research.
  • These opportunities will be exploited through the health-intelligence platform and also through public and private sector
    partnerships.
  • HIMAI will provide various opportunities for researchers and entrepreneurs to create innovative data analytics tools in health sector and detect early warning signals for new diseases epidemics for a better public health management.

Contact

Prof Wilfred Ndifon
Director of Research, AIMS Global Network
Email: wndifon@nexteinstein.org
Telephone Contact: (+250) 78 831 5246

the mobile app can be downloaded from here